Attention Is Not All You Need: Google & EPFL Study Reveals Huge Inductive Biases in Self-Attention Architectures | Synced
A research team from Google and EPFL proposes a novel approach that sheds light on the operation and inductive biases of self-attention networks, and finds that pure attention decays in rank doubly...
Source: Synced | AI Technology & Industry Review
A research team from Google and EPFL proposes a novel approach that sheds light on the operation and inductive biases of self-attention networks, and finds that pure attention decays in rank doubly exponentially with respect to depth.